[Week 2_Homework] Exercise 1: Visualizing Time

HOMEWORK (week 2)

Find 3 Data Sources:

Add at least three data sources to the Data Sources Wiki that you might be interested in working with throughout the duration of this class. You can either add to the existing categories or start a new category. Please mark your name next to your datasets.

Gapminder -> I’ve often used this program to see the world’s overall problem and objective information based on the data.

Find 3 Time Series Charts:

Find three different examples of time series charts that we discussed in class and write a few sentences about each. What type of data do you have? Why do you think the author chose this way of visualizing? What do you dislike/like about each one?

Line Chart

INEQUALITY AND NEW YORK’S SUBWAY

Explanation & Comment: New York City has a problem with income inequality. And it’s getting worse—the top of the spectrum is gaining and the bottom is losing. Along individual subway lines, earnings range from poverty to considerable wealth. The interactive infographic here charts these shifts, using data on median household income, from the U.S. Census Bureau, for census tracts with subway stations.

This interactive infographic here charts how median household income swings from station to station. I think this is a great example of interactive data visualization because the line graphs are visually simple, but it is self-explanatory by graphic and the readability of the chart is good. Also, when I click each subway line which are separated by its color, the line graphs are interactively changed, so I could easily figure out the topic and agenda of this visualized data.

Explanation & Comment: As you can see from the thick blanket of points at the frontier of the scatter plot, much of its yearly acquisitions are of recent pieces — the art of our time. Still, the average acquired painting was painted about 30 years before it joined MoMA’s collection. I love this data visualization because I’m a big fan of MoMA’s painting collections and the artists in this dataset. Actually, I did a visualization work that has a similar concept with this before by analyzing some masterpieces’ painting.

There are 956 paintings that are wider than they are tall and 1,079 that are taller than they are wide. There are 131 square paintings. Width is less constrained than height

Explanation & Comment: This data visualization shows how each country generally spend their money by using simple circle diagram in Small Multiples type chart. No wonder this data visualization shows that “Health” is a predominant concern in the U.S. and South Korea spends more money in “Education” area than other countries, but I doubt the alcohol and tobacco section of South Korea.

Find and clean a time series data set:

Find a set of time series data that interests you, download it, bring it into Excel and do any relevant cleaning/organizing that you would need to do to be ready to use this data in class next week.

Comment: I would like to make a data visualization by utilizing this chart and figure out relations between box office hit movies and the social trends and issues timeline of U.S. in 2015. So, I want to know the social issues have an effect on the movies’ hit.

Post a URL or .zip of your three visualizations and accompanying explanations (named: lastName_Ex1) and your cleaned data set to Exercise 1 on Canvas before the start of next class. Add your data sources to the Wiki with your name next to the ones you’ve added.